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GPT-5 mini vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 45.4% higher average benchmark score. GPT-5 mini offers 16.0K more tokens in context window than Jamba 1.5 Large. GPT-5 mini is $7.75 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
11 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00($7.75 cheaper)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 mini
Average Score:82.3%(+45.4%)
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Jamba 1.5 Large
Average Score:36.9%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
GPT-5 mini
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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Jamba 1.5 Large
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GPT-5 mini
Avg Score:82.3%(+45.4%)
Providers:2
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Jamba 1.5 Large
Avg Score:36.9%
Providers:2